An application of formal concept analysis to semantic neural decoding-Reference-Cited by-同舟云学术

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An application of formal concept analysis to semantic neural decoding

Published:2009-12 Issue:3-4 Volume:57 Page:233-248
ISSN:1012-2443
Container-title:Annals of Mathematics and Artificial Intelligence
language:en
Short-container-title:Ann Math Artif Intell

Author:

Endres Dominik Maria,Földiák Peter,Priss Uta

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10472-010-9196-8.pdf

Reference31 articles.

1. Georgopoulos, A.P., Schwartz, A.B., Kettner, R.E.: Neuronal population coding of movement direction. Science 233(4771), 1416–1419 (1986)

2. Földiák, P.: The ‘ideal homunculus’: statistical inference from neural population responses. In: Eeckmann, F., Bower, J. (eds.) Computation and Neural Systems, pp. 55–60. Kluwer, Norwell (1993)

3. Oram, M.W., Földiák, P., Perrett, D.I., Sengpiel, F.: The ‘ideal homunculus’: decoding neural population signals. Trends Neurosci. 21, 259–265 (1998)

4. Quiroga, R.Q., Reddy, L., Koch, C., Fried, I.: Decoding visual inputs from multiple neurons in the human temporal lobe. J. Neurophysiol. 98(4), 1997–2007 (2007)

5. Duda, O.R., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley, New York (2001)

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